1. Introduction

   • Doug Fisher

   Editorial Introduction Pages: 5 - 7

2. An Experimental Comparison of Model-Based Clustering Methods

   • Marina Meilă
   • David Heckerman

   OriginalPaper Pages: 9 - 29

3. SPADE: An Efficient Algorithm for Mining Frequent Sequences

   • Mohammed J. Zaki

   OriginalPaper Pages: 31 - 60

4. Confirmation-Guided Discovery of First-Order Rules with Tertius

   • Peter A. Flach
   • Nicolas Lachiche

   OriginalPaper Pages: 61 - 95

5. Supervised Versus Unsupervised Binary-Learning by Feedforward Neural Networks

   • Nathalie Japkowicz

   OriginalPaper Pages: 97 - 122

6. Linear Concepts and Hidden Variables

   • Adam J. Grove
   • Dan Roth

   OriginalPaper Pages: 123 - 141

7. Concept Decompositions for Large Sparse Text Data Using Clustering

   • Inderjit S. Dhillon
   • Dharmendra S. Modha

   OriginalPaper Pages: 143 - 175

8. Unsupervised Learning by Probabilistic Latent Semantic Analysis

   • Thomas Hofmann

   OriginalPaper Pages: 177 - 196